Structural Engineering and Mechanics

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Numerical simulation by the finite element method of the constructive steps of a precast prestressed segmental bridge

  • Gabriela G., Machado (Civil Engineering Graduate Program, Federal University of Rio Grande do Sul) ;
  • Americo Campos, Filho (Civil Engineering Graduate Program, Federal University of Rio Grande do Sul) ;
  • Paula M., Lazzari (Civil Engineering Graduate Program, Federal University of Rio Grande do Sul) ;
  • Bruna M., Lazzari (Civil Engineering Graduate Program, Federal University of Rio Grande do Sul) ;
  • Alexandre R., Pacheco (Civil Engineering Graduate Program, Federal University of Rio Grande do Sul)
  • Received : 2022.05.18
  • Accepted : 2022.12.21
  • Published : 2023.01.25
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Abstract

The design of segmental bridges, a structure that typically employs precast prestressed concrete elements and the balanced cantilever construction method for the deck, may demand a highly complex structural analysis for increased precision of the results. This work presents a comprehensive numerical analysis of a 3D finite element model using the software ANSYS, version 21.2, to simulate the constructive deck stages of the New Guaiba Bridge, a structure located in Porto Alegre city, southern Brazil. The materials concrete and steel were considered viscoelastic. The concrete used a Generalized Kelvin model, with subroutines written in FORTRAN and added to the main model through the customization tool UPF (User Programmable Features). The steel prestressing tendons used a Generalized Maxwell model available in ANSYS. The balanced cantilever constructive steps of a span of the New Guaiba Bridge were then numerically simulated to follow the actual constructive sequence of the bridge. A comparison between the results obtained with the numerical model and the actual vertical displacement data monitored during the bridge's construction was carried out, showing a good correlation.

Keywords

Acknowledgement

The authors wish to acknowledge the financial support given by the Civil Engineering Graduate Program (PPGEC) of the Federal University of Rio Grande do Sul (UFRGS) and by the Brazilian Governmental Research Institutions CAPES and CNPq. The authors also wish to acknowledge the technical support given by the New Guaiba Bridge Consortium, DNIT, and ECOPLAN ING., which have contributed with the bridge designs and data that were fundamental in this study.

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